Data Science Analyst

Department

BSD MED - Rheumatology - Clark Research Staff

About the Department

The Section of Rheumatology is a dynamic and growing enterprise of approximately forty faculty, staff, and fellows who are committed to providing outstanding state-of-the-art patient care, understanding the pathogenesis of autoimmune diseases, and training the next generation of physicians and scientists. We have well-developed basic science research programs where our primary focus is on understanding the development and regulation of lymphocytes which is fundamental to the pathogenesis of most autoimmune diseases.

These are exciting times in Rheumatology. Remarkable advances in our knowledge of basic immunology are beginning to translate into new and better treatments for those suffering from autoimmune and metabolic diseases. The Section is well poised to both take advantage and contribute to these revolutions in the understanding and treatment of rheumatic diseases.

Job Summary

The Data Science Analyst will work to improve and maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will work with a team of researchers to streamline analytical pipelines and customize algorithms to help investigate specific hypotheses surrounding immune cell organization in various autoimmune disorders. The candidate should be proficient in Python with a familiarity of specific libraries/APIs including sci-kit learn, pandas, skimage, and PyTorch. As the candidate will be working within a team, strong intrapersonal and communication skills are a must.

Responsibilities

Optimize and maintain algorithms for accurate quantification of biomedical microscopy images.

Validate performance of algorithms on novel datasets.

Properly version and document all updates and additions to code and pipelines.

Work with a team to drive innovation when analyzing new data.

Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.

Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.

Performs other related work as needed.

Minimum Qualifications

Education:Minimum requirements include a college or university degree in related field.

---

Work Experience:Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

---

Certifications:

---

Preferred Qualifications

Education:

Bachelor's degree in Computer Science, Data Science or relevant field.

Preferred Competencies

Proficiency in Python and BASH; familiarity with SLURM and PyTorch.

Familiarity with processing and managing image data.

Skills in basic bioinformatics.

Strong Analytical skills.

Problem-solving skills.

Organizational skills.

Verbal and written communication skills.

Ability to work independently and as part of a team.

Application Documents

Resume (required)

Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

40

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

JR26563